• DocumentCode
    1925304
  • Title

    Visual data mining over a video wall

  • Author

    Rivera, Laura P R ; Vergara, Sergio V Chapa ; Viveros, Amilcar Meneses

  • Author_Institution
    Comput. Sci. Dept., CINVESTAV-IPN, Mexico City, Mexico
  • fYear
    2012
  • fDate
    27-29 Feb. 2012
  • Firstpage
    239
  • Lastpage
    244
  • Abstract
    This paper explains how it was implemented a method of visual data mining deals to maximize the advantages provided by the use of a distributed object over a video wall, to facilitate the assessment of large amounts of data. It is seeking an alternative to the growing problem of having information and wanting to learn something from it so that they can minimize the costs in time and covers transportation, processing and visualization. That´s why we have selected the fundamental techniques in the process of mining as the coefficient of Pearson, and part of the management of distributed object has opted to use the advantages of the Mac platform. The main objective of this project is to create a system that allows for a friendly display large amounts of data.
  • Keywords
    computer displays; data mining; data visualisation; distributed processing; Mac platform; Pearson coefficient; data display; distributed object; video wall; visual data mining method; Correlation; Data mining; Data visualization; Databases; Servers; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Communications and Computers (CONIELECOMP), 2012 22nd International Conference on
  • Conference_Location
    Cholula, Puebla
  • Print_ISBN
    978-1-4577-1326-2
  • Type

    conf

  • DOI
    10.1109/CONIELECOMP.2012.6189916
  • Filename
    6189916